Basim Rahman

869 total citations
8 papers, 734 citations indexed

About

Basim Rahman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Basim Rahman has authored 8 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 2 papers in Molecular Biology and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Basim Rahman's work include Neuroscience and Neuropharmacology Research (3 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Diet and metabolism studies (2 papers). Basim Rahman is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Diet and metabolism studies (2 papers). Basim Rahman collaborates with scholars based in Germany, Switzerland and Slovenia. Basim Rahman's co-authors include Stefan Bröer, Bernd Hamprecht, Angelika Bröer, Joachim W. Deitmer, Hans‐Peter Schneider, Luc Pellerin, Jean‐Luc Martin, Pierre J. Magistretti, Stephan Verleysdonk and Heinz‐R. Köhler and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical Journal.

In The Last Decade

Basim Rahman

8 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Basim Rahman Germany	7	372	238	169	148	96	8	734
Andrew Midzak Canada	16	577 1.6×	165 0.7×	180 1.1×	45 0.3×	92 1.0×	19	1.2k
Jun‐ichi Sagara Japan	12	389 1.0×	189 0.8×	118 0.7×	301 2.0×	66 0.7×	17	939
Olga Zhdankina United States	6	358 1.0×	179 0.8×	158 0.9×	67 0.5×	68 0.7×	7	630
Jolanta Barańska Poland	20	653 1.8×	191 0.8×	122 0.7×	116 0.8×	30 0.3×	65	1.0k
Ju Young Kim United States	10	631 1.7×	432 1.8×	73 0.4×	193 1.3×	82 0.9×	15	1.1k
G. Tholey France	18	327 0.9×	277 1.2×	155 0.9×	88 0.6×	27 0.3×	48	839
Heming Zhu United States	11	705 1.9×	526 2.2×	119 0.7×	358 2.4×	112 1.2×	14	1.3k
Rune Kleppe Norway	20	603 1.6×	218 0.9×	141 0.8×	110 0.7×	41 0.4×	44	1.1k
Takahiko Kato Japan	15	517 1.4×	164 0.7×	138 0.8×	88 0.6×	40 0.4×	43	935
Elizabeth Yoder United States	14	386 1.0×	184 0.8×	150 0.9×	177 1.2×	23 0.2×	23	994

Countries citing papers authored by Basim Rahman

Since Specialization

Citations

This map shows the geographic impact of Basim Rahman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Basim Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basim Rahman more than expected).

Fields of papers citing papers by Basim Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basim Rahman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Basim Rahman. The network helps show where Basim Rahman may publish in the future.

Co-authorship network of co-authors of Basim Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Basim Rahman. A scholar is included among the top collaborators of Basim Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Basim Rahman. Basim Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Rahman, Basim, Lothar Kußmaul, Bernd Hamprecht, & Ralf Dringen. (2000). Glycogen is mobilized during the disposal of peroxides by cultured astroglial cells from rat brain. Neuroscience Letters. 290(3). 169–172. 45 indexed citations

Rahman, Basim, Hans‐Peter Schneider, Angelika Bröer, Joachim W. Deitmer, & Stefan Bröer. (1999). Helix 8 and Helix 10 Are Involved in Substrate Recognition in the Rat Monocarboxylate Transporter MCT1. Biochemistry. 38(35). 11577–11584. 72 indexed citations

Bröer, Stefan, Hans‐Peter Schneider, Angelika Bröer, et al.. (1998). Characterization of the monocarboxylate transporter 1 expressed in Xenopus laevis oocytes by changes in cytosolic pH. Biochemical Journal. 333(1). 167–174. 264 indexed citations

Köhler, Heinz‐R., et al.. (1998). VALIDATION OF hsp70 STRESS GENE EXPRESSION AS A MARKER OF METAL EFFECTS IN DEROCERAS RETICULATUM (PULMONATA): CORRELATION WITH DEMOGRAPHIC PARAMETERS. Environmental Toxicology and Chemistry. 17(11). 2246–2246. 6 indexed citations

Köhler, Heinz‐R., et al.. (1998). Validation of hsp70 stress gene expression as a marker of metal effects in Deroceras reticulatum (pulmonata): Correlation with demographic parameters. Environmental Toxicology and Chemistry. 17(11). 2246–2253. 20 indexed citations

Bröer, Stefan, Basim Rahman, Luc Pellerin, et al.. (1997). Comparison of Lactate Transport in Astroglial Cells and Monocarboxylate Transporter 1 (MCT 1) Expressing Xenopus laevis Oocytes. Journal of Biological Chemistry. 272(48). 30096–30102. 281 indexed citations

Köhler, Heinz‐R., et al.. (1996). Expression of the stress-70 protein family (HSP70) due to heavy metal contamination in the slug, Deroceras reticulatum: An approach to monitor sublethal stress conditions. Chemosphere. 33(7). 1327–1340. 43 indexed citations

Köhler, Heinz‐R., et al.. (1994). Assessment of stress situations in the grey garden slug, Deroceras reticulatum, caused by heavy metal intoxication: semi-quantification of the 70 kD stress protein (Hsp70). 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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